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Efficient, Image-based Appearance Acquisition of Real-World Objects

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Lensch,  Hendrik P. A.
Computer Graphics, MPI for Informatics, Max Planck Society;
International Max Planck Research School, MPI for Informatics, Max Planck Society;

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Citation

Lensch, H. P. A. (2004). Efficient, Image-based Appearance Acquisition of Real-World Objects. PhD Thesis, Cuvillier Verlag, Göttingen. doi:10.22028/D291-25757.


Cite as: https://hdl.handle.net/11858/00-001M-0000-000F-2BD1-2
Abstract
Two ingredients are necessary to synthesize realistic images: an
accurate rendering algorithm and, equally important, high-quality
models in terms of geometry {\em and} reflection properties. In this
dissertation we focus on capturing the appearance of real world
objects. The acquired model must represent both the geometry and the
reflection properties of the object in order to create new views of
the object with novel illumination. Starting from scanned 3D
geometry, we measure the reflection properties (BRDF) of the object
from images taken under known viewing and lighting conditions. The
BRDF measurement require only a small number of input images and is
made even more efficient by a view planning algorithm. In particular,
we propose algorithms for efficient image-to-geometry registration,
and an image-based measurement technique to reconstruct spatially
varying materials from a sparse set of images using a point light
source. Moreover, we present a view
planning algorithm that calculates camera and light source positions
for optimal quality and efficiency of the measurement process.
Relightable models of real-world objects are requested in various
fields such as movie production, e-commerce, digital libraries, and
virtual heritage.